Thoughts on AI: A Recent Series of Posts

I’ve been doing a lot of thinking lately about the current state and future of Artificial Intelligence, especially in the context of business and data. It’s a topic that’s impossible to ignore, and I’ve been fortunate to have the opportunity to share some of my thoughts on the InterWorks blog. I’ve recently published a series of three posts that I’d like to highlight here.

The week started with a call to action in “InterWorks Believes in People, Not Just AI.” In this post, I make the case that while AI is a powerful tool, it’s not a replacement for human expertise, especially when it comes to the nuances of customer support and the complexities of modern data platforms.

Next, in “AI and the Elephant,” I delved into the human side of AI adoption. It’s not enough to have the best technology; you also have to win the hearts and minds of the people who will be using it. I used the metaphor of the Rider and the Elephant to explore how to address the emotional resistance to AI and build trust with your team.

Finally, I wrapped up the week with “Stop Waiting on Data: AI Projects Should Start Today.” Here, I argue against what I call the “Perfect Data Fallacy” – the idea that you need to have pristine data before you can even begin to think about AI. I believe this is a trap that prevents many organizations from getting started and realizing the benefits of AI.

A running theme in all three posts is the importance of balancing technology with human factors. AI is a powerful, imperfect tool. Success with AI requires thoughtful implementation, a focus on people, and a willingness to start small and iterate.

What’s your biggest challenge with AI adoption in your organization? I’d love to hear what you’re working through—reach out on LinkedIn or Bluesky.